System for predicting weather changes

Abstract

An automatic protection system for protecting agricultural crops by collecting weather data in real time, predicting guerrilla heavy rains and local climate changes with high accuracy using artificial intelligence. A data collection unit acquires data from weather satellites and ground-based observation stations, and a prediction analysis unit performs analysis using a machine learning algorithm. Based on the prediction results, a protection execution unit activates a robot that automatically stacks sandbags to form a protective wall to protect crops. Furthermore, a monitoring unit monitors the situation at the site and adjusts the protective measures as necessary. A feedback unit evaluates the effect of the executed measures and collects data for improving the accuracy of the prediction model.

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